Lifa Yende
AI Voice Agent & WhatsApp Automation Developer
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Custom AI client coordinator built for a medical aesthetics practice. Handles call answering, treatment pricing, appointment booking, and after-hours coverage. Deployed in 14 days. From $999/mo
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This is the difference between a generic WhatsApp bot and what I build. Left side: a standard menu bot that breaks the moment a patient asks a real question. Right side: NowNow AI's conversational WhatsApp agent — it answers pricing instantly, handles objections, checks medical aid coverage, follows up the next day unprompted, and books the appointment with full confirmation details. No menus, no dead ends, no "Sorry, I didn't understand that." Built on Cloudflare Workers with Claude-powered conversation memory, Meta WhatsApp Business API, and Make.com (http://Make.com) orchestration. Every message you see here was handled autonomously — zero human intervention from first enquiry to confirmed booking while still keeping a conversational and human tone
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This is the live client-facing dashboard I built for NowNow AI — the system South African dental and medical practices use to see their AI client coordinator at work. Each practice gets a personalised view: total enquiries handled, bookings made, conversion rate, and after-hours calls caught (the calls that would have gone to voicemail and been lost forever). The WhatsApp tab shown here surfaces every text-based enquiry, with the AI agent that handles the full conversation — answering questions, qualifying the patient, and booking the appointment autonomously, with the booking pushed straight to the practice's schedule. The example here shows a real booked cleaning appointment captured end-to-end on WhatsApp. Built solo as a single-file deployment: front-end dashboard, Cloudflare Worker backend with KV-stored conversation memory, Make.com (http://Make.com) automation pipeline, and Meta WhatsApp Business API integration.
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This is the live call log from NowNow AI's production system — an AI client coordinator I built for South African medical and dental practices. When a patient calls, an AI voice agent answers in under 2 seconds, handles the enquiry, books the appointment, captures medical aid details, and logs everything into a structured database in real time. Every row you see here represents a call that would otherwise have gone to voicemail or been lost entirely — after-hours, lunch breaks, double-bookings on reception. The stack runs on Retell AI for voice, Make.com (http://Make.com) for orchestration, and Google Sheets as the live data layer, with WhatsApp follow-up firing automatically post-call so patients never get ghosted. Built end-to-end as a solo developer: voice agent prompting, automation pipeline, data architecture, and the client-facing dashboard.
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